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Think Stats (v 2.0.27)

by: Allen B. Downey

Publication date: 2015

Usage: Attribution-Noncommercial-Share Alike 3.0

Topics: Python, statistics, textbook

Collection: folkscanomy_miscellaneous; folkscanomy; additional_collections

Language: English

Think Stats is an introduction to Probability and Statistics for Python programmers.

Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.

If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

The author maintains an online version at http://thinkstats2.com. Supporting code and text at GitHub.

Archived at unglue.it.